Civitas Learning

Senior Product Manager

Remote- US · Senior

Sponsorship not specified$145k-$155kDetected 21 days ago

Machine LearningData EngineeringData ScienceLLMsProduct ManagementProduct StrategyJiraConfluenceStakeholder ManagementCustomer SuccessLeadershipCommunicationCollaborationAdaptability

About the role

This is a high-visibility, high-impact role focused on execution.
Higher ed institutions are complex environments, and the people we serve (advisors, enrollment teams, financial aid staff) work in ways that are not always obvious from the outside.
You do not need to know all of it on day one.

Responsibilities

Design and run pilots and prototype evaluations, synthesizing feedback to inform what to build next and where to course-correct.
Help develop and maintain a human-in-the-loop framework that ensures AI recommendations are actionable, trustworthy, and appropriately escalated.
Translate strategy into clear, actionable work across engineering and design: epics, problem statements, user stories, and success criteria that give teams what they need to move without over-specifying implementation.
Maintain a clear, up-to-date view of what is in progress, what is coming next, and what is changing and why.
Partner closely with engineering to shape solutions, incorporate technical considerations early, and align on expectations before work begins.
Collaborate with Legal, Compliance, and Customer Success to navigate institutional and regulatory considerations as new AI capabilities are introduced.
Partner with the go-to-market team to ensure AI capabilities are positioned and communicated in ways that land with higher ed audiences.
Support the expansion of Compass AI's agent library, including agent scope, trigger logic, escalation behavior, and intervention design across student success domains.
Help drive integration of new AI tooling (LLMs, workflow automation, data pipelines) into the Compass platform in coordination with engineering.
Stay current on the AI vendor landscape and contribute informed perspective on build vs. buy vs. partner decisions.

Nice to have

Identify and resolve ambiguity before it reaches engineering.
Establish consistent ways of documenting and communicating product decisions.
Proactively communicate roadmap updates to Sales, Customer Success, and leadership so internal teams always know what is shipping and what is coming.
5+ years in product management, with demonstrated experience owning complex, cross-functional initiatives from discovery through delivery.
Direct experience with AI/ML products, including LLM-powered tools, conversational experiences, or autonomous agent systems, ideally in an enterprise or SaaS context.
Track record of executing effectively within a defined strategy.
Deep fluency in the AI landscape.
You actively track model developments, emerging tooling, agent frameworks, and competitive dynamics, and can translate that signal into clear, grounded implications for a higher ed product portfolio.

Compensation

Excellent written and verbal communication skills, including the ability to explain AI concepts clearly to audiences with varying levels of technical fluency.
Patient and empathetic with customers who are new to AI. Higher ed institutions move carefully and that is something to work with, not around.
Curious about AI in an ongoing way. You follow the space closely and bring informed perspective on what is hype vs. what is ready to ship.
Collaborative by default. You see the VP of Product as a close partner, not just a manager, and you bring your best thinking to that relationship.

Benefits

Identify and prioritize high-potential AI use cases across academic advising, enrollment, financial aid, retention, and student wellbeing, drawing on our library of 170+ agent concepts and emerging market signals.
Experience in or adjacent to higher education, edtech, or student success platforms is a plus.
Comfortable with ambiguity and genuinely motivated to figure things out, especially in a domain you are still learning.

Company info

running discovery, building with engineering and data science, validating with customers, and shipping capabilities that measurably improve student outcomes at scale.
We are looking for someone who gets genuinely energized by figuring things out.
You need to want to learn it, find the real problems, and identify where Compass AI can make the biggest difference.
We will do a lot of that work together.
Lead structured discovery with institutional customers to validate hypotheses, surface unmet needs, and pressure-test AI concepts before committing to build.

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This listing is sourced directly from Civitas Learning's careers page and normalized into a canonical job model.